Comments (4)
This task requires the ability to modify the visual environment in Yellowbrick similar to how Seaborn does it - but we're happy for ideas about how to do this in more innovative and intuitive ways. For lack of any ideas right now, I'll discuss Seaborn's:
set_style
- set the color scheme and other color propertiesset_context
- set the font and size for 'talk', 'poster', 'paper', 'notebook', etc.
See: https://stanford.edu/~mwaskom/software/seaborn/tutorial/aesthetics.html for more.
We also want our own unique visual style that is clean like Seaborn without cloning it. We really like the idea of using Color Brewer as a foundation of our visualizations: https://bl.ocks.org/mbostock/5577023
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Question:
Do we want Yellowbrick to blanket overwrite mpl defaults on import? It would then compete with Seaborn as well I think. Who ever gets imported last gets control of the style? (Actually it may make some kind of odd hybrid if we don't perfectly match the various Seaborn changes)
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It would be awesome to do an experiment about how the drawing environment
changes by mapping the global parameters (and a potential blog post). I
know I just said this outloud, but for the purposes of documentation:
- Modify the mpl defaults
- Visualize using striaght mpl
- Visualizing using pandas
- Visualize using seaborn
- set_context/set_style
- Visualize using straight mpl
- Visualize using pandas
And we can watch what is happening/changing.
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Made a notebook with some quick experiments. Seems like most things are using the matplotlib rc settings that Seaborn creatively overwrites upon import.
Let me know if I missed anything obvious. Going to start copying over the Seaborn style functionality into Yellowbrick.
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Related Issues (20)
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